Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

By Amine Belhadi, Sachin S. Kamble, Samuel Fosso Wamba, Maciel Manoel de Queiroz. International Journal of Production Research, 2021

295 citations recorded by the source corpus.

ABSTRACT Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient supply chains. However, the literature is highly dispersed regarding the application of AI in supply-chain management. The literature to date lacks a decision-making framework for identifying and applying powerful AI techniques to build supply-chain resilience (SCRes), curbing advances in research and practice on this interesting interface. In this paper, we propose an integrated Multi-criteria decision-making (MCDM) technique powered by AI-based algorithms such as Fuzzy systems, Wavelet Neural Networks (WNN) and Evaluation based on Distance from Average Solution (EDAS) to identify patterns in AI techniques for developing different SCRes strategies. The analysis was informed by data collected from 479 manufacturing companies to determine the most significant AI applications used for SCRes. The findings show that fuzzy logic programming, machine learning big data, and agent-based systems are the most promising techniques used to promote SCRes strategies. The study findings support decision-makers by providing an integrated decision-making framework to guide practitioners in AI deployment for building SCRes.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/eac0dfc5a268011dbb688db6c79a1533160d1b7c

How researchers see this paper

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In Management Information Systems

1. Conn Smyth
2. Samrat Gupta
3. Denis Dennehy
4. Efpraxia D. Zamani

In Strategy and Management

1. Conn Smyth
2. Samrat Gupta
3. Denis Dennehy
4. Efpraxia D. Zamani

Citations in the corpus

• Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022, background): “Along these lines, using AI techniques has a significant positive impact on the firm’s adaptive capabilities because these techniques allow the firm to learn from the external environment and to reduce the complexity of highly complex systems, and thus facilitate resilience (Belhadi, Mani, Kamble, e”